论文标题

伤口和发作水平的再入院风险或数周阅读:为什么患者会被重新入院?患者需要多长时间?

Wound and episode level readmission risk or weeks to readmit: Why do patients get readmitted? How long does it take for a patient to get readmitted?

论文作者

Oota, Subba Reddy, Rahman, Nafisur, Mohammed, Shahid Saleem, Galitz, Jeffrey, Liu, Ming

论文摘要

2010年的《平价医疗法案》(Affordable Care Act)于2012年引入了减少再入院计划,以减少可避免的重新入院,以控制不断上升的医疗保健费用。伤口护理影响了15名Medicare受益人,使其成为Medicare医疗保健成本的主要贡献者之一。健康计划一直在探索积极的医疗服务,可以专注于防止伤口复发和重新吸收以控制伤口护理费用。随着伤口护理行业的成本上升,减少伤口复发和患者重新吸收至关重要。哪些因素是导致最终导致住院或重新入院的伤口重复发生的因素?是否有一种方法可以在使用数据驱动分析发生之前识别有可能重新入院的患者?患者再入院风险管理对于患有糖尿病性溃疡,压溃疡和血管溃疡等慢性伤口的患者至关重要。了解风险和导致患者再入院的因素可以帮助护理提供者和患者避免伤口复发。我们的工作着重于确定重新入学的高风险并确定患者可能会重新吸收的患者。频繁的重新入院增加了患者和健康计划的财务压力,并使患者的生活质量恶化。拥有此信息可以允许提供者制定预防措施,以延迟(如果不预防)患者的重新加入。在患者伤口护理信息的伤口和情节级数据集中,我们的延长自动认知的召回率为92,预测患者的再入院风险的精度为92。对于新的患者课程,精度和召回率分别高达91和98。我们还能够预测患者的出院事件,以通过2.3周的MAE通过我们的模型进行重新入选事件。

The Affordable care Act of 2010 had introduced Readmission reduction program in 2012 to reduce avoidable re-admissions to control rising healthcare costs. Wound care impacts 15 of medicare beneficiaries making it one of the major contributors of medicare health care cost. Health plans have been exploring proactive health care services that can focus on preventing wound recurrences and re-admissions to control the wound care costs. With rising costs of Wound care industry, it has become of paramount importance to reduce wound recurrences & patient re-admissions. What factors are responsible for a Wound to recur which ultimately lead to hospitalization or re-admission? Is there a way to identify the patients at risk of re-admission before the occurrence using data driven analysis? Patient re-admission risk management has become critical for patients suffering from chronic wounds such as diabetic ulcers, pressure ulcers, and vascular ulcers. Understanding the risk & the factors that cause patient readmission can help care providers and patients avoid wound recurrences. Our work focuses on identifying patients who are at high risk of re-admission & determining the time period with in which a patient might get re-admitted. Frequent re-admissions add financial stress to the patient & Health plan and deteriorate the quality of life of the patient. Having this information can allow a provider to set up preventive measures that can delay, if not prevent, patients' re-admission. On a combined wound & episode-level data set of patient's wound care information, our extended autoprognosis achieves a recall of 92 and a precision of 92 for the predicting a patient's re-admission risk. For new patient class, precision and recall are as high as 91 and 98, respectively. We are also able to predict the patient's discharge event for a re-admission event to occur through our model with a MAE of 2.3 weeks.

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